Hidden effeciencies in Logistics Data

Posted on October 3, 2025

At Rema1000 Jesper Vigsø de Place Rimmen is managing logistics with a team of dispatchers. They get things done and very well it seems. They are able to push 2.3 million pallets of goods and returns to and from the 430 Danish stores and at the same time doing across a mixed fleet of EVs and conventional diesels. They leverage hauler capacity balancing routes in and out of their own fleet.

Regardless of success Jesper still has this itch he needs to scratch. Can this be done differently, can we leverage technologies beyond what we have in our tool set today.

I sat down this week at our AMCS Transport Customer Forum 2025 to chat about just that with Jesper. What’s that itch? How does he plan to scratch it?

“It’s in the data” Jesper aludes to, its hidding in plain site in our everyday rhythms. We might not see the patterns of 5-10 min here and there but in the total sum of its parts it’s there in large numbers.

A concrete example Jesper shared is the end of day route data consolidation for self billing with our haulers and understanding our transport costs. We spend on average 6 hours across the team adds up to 36 hours across the week, add to a year of dispatcher work every year. That’s one dispatcher who could help the drivers and stores and warehouse out getting more goods moving spending time on checks and balances instead.

Applying the same logic across a fleet of several hundreds trucks visiting the same sites week over week in the thousands of occurrences and suddenly you find truck years hiding in those small recurring potential efficiency gains. We might capture the data but we need to detect the patterns.

Another pattern is in the routes constructed for best operating EVs. Some routes just fit EVs better while it might not be obvious the EVs perform better on the long hauls compared to the diesel who does a good job in the cities.

These are the kind of challenges AMCS loves and our Chief innovation officer Evan J Schwartz is especially interested in. Evan is already helping us in Transport + Logistics on the path to invent AI support mechanisms in our end of day transport validation software.

Let’s retrieve those stolen pennies of efficiency from our logistics processes!